The Magic Pak 25 Ton is a heating and cooling unit that is designed for commercial and residential use. It is known for its high efficiency and reliability, making it a popular choice among consumers and contractors. This unit is capable of providing both heating and cooling to a space, which makes it versatile and suitable for various applications. It uses a combination of electric heat and a heat pump to efficiently heat and cool the air. The unit can be easily installed in a variety of locations, including rooftops, closets, and utility rooms. The Magic Pak 25 Ton is equipped with advanced features to ensure optimal performance and energy efficiency.
Após vários testes, conclui que não é recomendado utilizar o parâmetro TABLE_EXISTS_ACTION=APPEND, devido às restrições de integridade que são impostas pela regra de negócio do cliente. Para este parâmetro trabalhar corretamente, observei que é preciso checar as dependências das tabelas envolvidas, caso contrário, vai ocorrer o erro ORA-0001: unique constraint violated.
APPLICANTS LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED values Brown , Jackson , to_date 01-01-2005 12 00 00 , dd-mm-yyyy hh24 mi ss , IT_CNTR2 , 70113. APPLICANTS LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED values Carrington , Joan , to_date 01-01-2005 12 00 00 , dd-mm-yyyy hh24 mi ss , IT_CNTR2 , 91919.
The Magic Pak 25 Ton is equipped with advanced features to ensure optimal performance and energy efficiency. It has a built-in economizer, which allows the unit to take advantage of outside air when the temperature is favorable, reducing the need for mechanical cooling. This not only saves energy but also lowers operational costs.
O parâmetro TABLE_EXISTS_ACTION do impdp: Como usá-lo para importar e atualizar tabelas no banco de dados ARTIGO EXCLUSIVO
No artigo de hoje vou falar sobre o parâmetro TABLE_EXISTS_ACTION do impdp, também vou criar um exemplo prático para que vocês entendam melhor o conceito.
Este parâmetro deve ser usado em conjunto com o parâmetro TABLES, que especifica as tabelas que serão importadas. Este parâmetro define qual ação tomará o Data Pump quando encontrar uma tabela que já existe no banco de dados.
O parâmetro pode ter os seguintes valores:
- SKIP – nenhuma ação é tomada, ignora a(s) tabela(s) existente(s).
- APPEND – novas linhas serão acrescentadas a tabela existente.
- TRUNCATE – apaga as linhas da(s) tabela(s), em seguida, efetua a carga dos dados.
- REPLACE – substitui a(s) tabela(s) existente(s); implicitamente, é executado os comandos DROP TABLE e CREATE TABLE, depois é feito a carga dos dados.
PASSO A PASSO
Passo 1 – Criando o HREX, importando tabelas do HR para o HREX:
CREATE USER HREX IDENTIFIED BY HREX DEFAULT TABLESPACE USERS TEMPORARY TABLESPACE TEMP; Processando o tipo de objeto DATABASE_EXPORT/SCHEMA/TABLE/TABLE_DATA . . importou "HREX"."COUNTRIES" 6.367 KB 25 linhas . . importou "HREX"."DEPARTMENTS" 7.007 KB 27 linhas . . importou "HREX"."EMPLOYEES" 16.81 KB 107 linhas . . importou "HREX"."JOB_HISTORY" 7.054 KB 10 linhas . . importou "HREX"."JOBS" 6.992 KB 19 linhas . . importou "HREX"."LOCATIONS" 8.273 KB 23 linhas . . importou "HREX"."REGIONS" 5.476 KB 4 linhas Processando o tipo de objeto DATABASE_EXPORT/SCHEMA/ TABLE/GRANT/OWNER_GRANT/OBJECT_GRANT Processando o tipo de objeto DATABASE_EXPORT/SCHEMA/ TABLE/COMMENTPasso 2 – Inserindo novas linhas nas tabelas do HR:
----- -- Listing 3.2: Add new Jobs, Departments, and Employees ----- INSERT INTO hr.departments (department_id, department_name, manager_id, location_id) VALUES (280, 'Science Fiction Writers', 108, 1500); INSERT INTO hr.jobs (job_id, job_title, min_salary, max_salary) VALUES ('EDITOR', 'Science Fiction Editor', 100000, 199999); INSERT INTO hr.jobs (job_id, job_title, min_salary, max_salary) VALUES ('WRITER-1', 'Science Fiction Writer 1', 5000, 29999); COMMIT; INSERT INTO hr.employees ( employee_id, first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id ) VALUES ( 901, 'John', 'Campbell', '[email protected]', '212-555-1212', TO_DATE('02/08/1943', 'MM/DD/YYYY'), 'EDITOR', 110000, NULL, 100, 280 ); INSERT INTO hr.employees ( employee_id, first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id ) VALUES ( 902, 'Isaac', 'Asimov', '[email protected]', '212-555-1313', TO_DATE('01/01/1949', 'MM/DD/YYYY'), 'WRITER-1', 5000, NULL, 901, 280 ); COMMIT; ----- -- Listing 3.3: Sample transactions: -- 1.) Update salaries and department IDs for selected employees ----- UPDATE hr.employees SET salary = salary * 1.05 WHERE employee_id >= 902; COMMIT;Passo 3 – Criando tabela HR.APPLICANTS:
----- -- Listing 3.6: Create a new table (HR.APPLICANTS) ----- DROP TABLE hr.applicants CASCADE CONSTRAINTS; create table HR.APPLICANTS ( applicant_id NUMBER(5) NOT NULL, last_name VARCHAR2(24) NOT NULL, first_name VARCHAR2(24) NOT NULL, middle_initial VARCHAR2(1), gender VARCHAR2(1), application_date DATE NOT NULL, job_desired VARCHAR2(10) NOT NULL, salary_desired NUMBER(10,2) NOT NULL, added_on DATE DEFAULT SYSDATE NOT NULL, added_by VARCHAR2(12) NOT NULL, changed_on DATE DEFAULT SYSDATE NOT NULL, changed_by VARCHAR2(12) NOT NULL ) TABLESPACE EXAMPLE PCTFREE 10 PCTUSED 40 INITRANS 1 STORAGE ( INITIAL 64K MINEXTENTS 1 MAXEXTENTS UNLIMITED ); -- Comments COMMENT ON TABLE hr.applicants IS 'Controls domain of Applicants, i.e. persons who have applied for an employment opportunity'; COMMENT ON COLUMN hr.applicants.applicant_id IS 'Unique identifier for an Applicant'; COMMENT ON COLUMN hr.applicants.last_name IS 'Applicant Last Name'; COMMENT ON COLUMN hr.applicants.first_name IS 'Applicant First Name'; COMMENT ON COLUMN hr.applicants.middle_initial IS 'Applicant Middle Initial'; COMMENT ON COLUMN hr.applicants.gender IS 'Applicant Gender'; COMMENT ON COLUMN hr.applicants.application_date IS 'Application Date'; COMMENT ON COLUMN hr.applicants.job_desired IS 'Job Applied For'; COMMENT ON COLUMN hr.applicants.salary_desired IS 'Desired Salary'; COMMENT ON COLUMN hr.applicants.added_on IS 'Added On'; COMMENT ON COLUMN hr.applicants.added_by IS 'Added By'; COMMENT ON COLUMN hr.applicants.changed_on IS 'Last Updated On'; COMMENT ON COLUMN hr.applicants.changed_by IS 'Last Updated By'; -- Create indexes and constraints CREATE UNIQUE INDEX hr.applicants_pk_idx ON hr.applicants(applicant_id) TABLESPACE EXAMPLE PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE ( INITIAL 64K MINEXTENTS 1 MAXEXTENTS UNLIMITED ); ALTER TABLE hr.applicants ADD CONSTRAINT applicants_pk PRIMARY KEY (applicant_id); CREATE INDEX hr.applicants_last_name_idx ON hr.applicants(last_name) TABLESPACE EXAMPLE PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE ( INITIAL 64K MINEXTENTS 1 MAXEXTENTS UNLIMITED ); -- Create/Recreate check constraints ALTER TABLE hr.applicants ADD CONSTRAINT applicant_gender_ck CHECK ((gender IN('M', 'F') or gender IS NULL)); -- Create sequence DROP SEQUENCE hr.seq_applicants; CREATE SEQUENCE hr.seq_applicants MINVALUE 1 MAXVALUE 999999999999999999999999999 START WITH 1 INCREMENT BY 1 CACHE 3; -- Create INSERT/UPDATE row-level trigger CREATE OR REPLACE TRIGGER hr.tr_briu_applicants BEFORE INSERT OR UPDATE ON hr.applicants FOR EACH ROW DECLARE entry_id NUMBER := 0; BEGIN IF INSERTING THEN BEGIN SELECT hr.seq_applicants.NEXTVAL INTO entry_id FROM DUAL; :new.applicant_id := entry_id; :new.added_on := SYSDATE; :new.added_by := DBMS_STANDARD.LOGIN_USER; :new.changed_on := SYSDATE; :new.changed_by := DBMS_STANDARD.LOGIN_USER; END; ELSIF UPDATING THEN BEGIN :new.changed_on := SYSDATE; :new.changed_by := DBMS_STANDARD.LOGIN_USER; END; END IF; END TR_BRIU_APPLICANTS; / -- Create a first set of applicants insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Aniston', 'Seth', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 88017.94); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Niven', 'Ray', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR1', 82553.39); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Brown', 'Jackson', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 70113.04); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Murdock', 'Charlton', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 70389.16); COMMIT; ----- -- Listing 3.7: Create a second set of applicants ----- insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Sandler', 'Joanna', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR1', 56205.25); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Callow', 'Ramsey', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR1', 90966.42); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Skerritt', 'Rade', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 44394.27); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('MacLachlan', 'Walter', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR3', 97292.06); COMMIT; ----- -- Listing 3.11: Create a third set of applicants ----- insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Winwood', 'Chloe', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR3', 57301.55); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('King', 'Clint', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 50291.11); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Carrington', 'Joan', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR2', 91919.56); insert into HR.APPLICANTS (LAST_NAME, FIRST_NAME, APPLICATION_DATE, JOB_DESIRED, SALARY_DESIRED) values ('Tyson', 'Hex', to_date('01-01-2005 12:00:00', 'dd-mm-yyyy hh24:mi:ss'), 'IT_CNTR1', 56582.30); COMMIT;Passo 4 – Importando tabela DEPARTMENTS:
Comparando a tabela dos esquemas HR e HREX, nota-se a ausência do departamento 280 na tabela HREX.DEPARTMENTS.
Para que as tabelas fiquem iguais, vamos substituir a tabela do esquema HREX pela tabela do HR.
Passo 5 – Importando tabela APPLICANTS:
Neste passo, vamos importar a tabela APPLICANTS do esquema HR para o HREX, através do “comando” TRUNCATE. Quando utilizamos esta opção, o Data Pump apaga todas as linhas da tabela e “popula” ela com os dados do ambiente de origem.
Passo 6 – Importando tabelas EMPLOYEES, APPLICANTS, APPLICANTS2:
Vamos importar as tabelas EMPLOYEES, APPLICANTS e APPLICANTS2 do esquema HR para o esquema HREX. As tabelas que já existem no esquema HREX não serão importadas, as outras tabelas sim. Para exemplificar, criei a tabela HR.APPLICANTS2.
Conclusão
Após vários testes, conclui que não é recomendado utilizar o parâmetro TABLE_EXISTS_ACTION=APPEND, devido às restrições de integridade que são impostas pela regra de negócio do cliente. Para este parâmetro trabalhar corretamente, observei que é preciso checar as dependências das tabelas envolvidas, caso contrário, vai ocorrer o erro ORA-0001: unique constraint violated.
Referências
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Passo 1 – Criando o HREX, importando tabelas do HR para o HREX:
In addition to its energy-saving features, the Magic Pak 25 Ton also prioritizes comfort and user-friendliness. It has a programmable thermostat that allows users to set their desired temperature and schedule, ensuring that their space remains comfortable at all times. The unit also has a quiet operation, minimizing noise disturbance for occupants. Maintenance and servicing of the Magic Pak 25 Ton are also relatively easy. It has a self-diagnosing control system that alerts users to any potential issues, allowing for timely repairs and minimizing downtime. The unit also features a washable filter that can be easily cleaned, ensuring that the air remains clean and fresh. Overall, the Magic Pak 25 Ton is a reliable and efficient heating and cooling unit that offers a range of benefits. Its energy-saving features, ease of installation, and user-friendly controls make it a popular choice for both residential and commercial applications. Whether it's a small office space or a larger commercial building, this unit can provide the necessary comfort and climate control..
Reviews for "The Benefits of Zoning with a Magic pak 25 ton AC Unit"
1. John - 1 star - I was highly disappointed with the Magic pak 25 ton. First of all, it was extremely noisy and disruptive. I could not concentrate on anything while it was running, and it disturbed the peace in my home. Additionally, the cooling capacity was not as effective as advertised. I found myself still sweating even with the AC on full blast. It was definitely not worth the money, and I would not recommend it to anyone.
2. Sarah - 2 stars - The Magic pak 25 ton did not live up to my expectations. Despite the claims of energy efficiency, I actually noticed a significant increase in my electricity bill after using this unit. I was hoping for a more cost-effective solution, but it ended up being the opposite. The installation process was also quite cumbersome, requiring additional parts and professional help. Overall, I regret purchasing this product and wish I had chosen a different brand.
3. Michael - 2.5 stars - I found the Magic pak 25 ton to be subpar in terms of build quality. The unit seemed cheaply made and did not feel sturdy or durable. I was concerned about its long-term performance and reliability. Additionally, the customer service was lacking. I had some questions and concerns, but it took multiple attempts to get any response. For such an expensive investment, I expected better quality and support. I would not purchase this product again.